Yazar "Taspinar, Necmi" için listeleme
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Back Propagation Neural Network Approach for Channel Estimation in OFDM System
Taspinar, Necmi; Seyman, M. Nuri (Ieee, 2010)In high data rate communication systems which use orthogonal frequency division multiplexing as a modulation scheme, at receiver channel impulse responses must be estimated for coherent demodulation. In this paper, ... -
Channel estimation based on adaptive neuro-fuzzy inference system in OFDM
Seyman, M. Nuri; Taspinar, Necmi (Ieice-Inst Electronics Information Communications Eng, 2008)In this letter we purpose adaptive neuro-fuzzy inference system (ANFIS) for channel estimation in orthogonal frequency division multiplexing (OFDM) systems. To evaluate the performance of this estimator, we compare the ... -
Channel estimation based on neural network in space time block coded MIMO-OFDM system
Seyman, Muhammet Nuri; Taspinar, Necmi (Academic Press Inc Elsevier Science, 2013)In this study, we propose feed-forward multilayered perceptron (MLP) neural network trained with the Levenberg-Marquardt algorithm to estimate channel parameters in MIMO-OFDM systems. Bit error rate (BER) and mean square ... -
Channel Estimation Based on Neural Network With Feedback for Mimo Ofdm Mobile Communication Systems
Seyman, M. Nuri; Taspinar, Necmi (Taylor & Francis Inc, 2012)Multiple input multiple output (MIMO) orthogonal frequency division multiplexing (OFDM) has received a great deal of attention of recently in achieving high data rate in wireless communication systems such as WIMAX. Channel ... -
Hybrid SR ARQ scheme using two dimensional trellis coded modulation and code combining for AWGN channel
Tuna, Eyup; Taspinar, Necmi (Walter De Gruyter & Co, 2006)In this paper, we evaluate the weight spectra of the rate 2/3, 4-state two dimensional trellis coded modulation (2D-TCM). Using the weight spectra and the code combining technique, the throughput of hybrid selective repeat ... -
Particle swarm optimization for pilot tones design in MIMO-OFDM systems
Seyman, Muhammet Nuri; Taspinar, Necmi (Springer, 2011)Channel estimation is an essential task in MIMO-OFDM systems for coherent demodulation and data detection. Also designing pilot tones that affect the channel estimation performance is an important issue for these systems. ... -
Pilot Tones Optimization Using Artificial Bee Colony Algorithm for MIMO-OFDM Systems
Seyman, Muhammet Nuri; Taspinar, Necmi (Springer, 2013)How to design the pilot tones that are used in channel estimation has a significant effect on the estimation performance. To achieve good performance in least square (LS) algorithm, we propose the artificial bee colony ... -
Radial Basis Function Neural Networks for Channel Estimation in MIMO-OFDM Systems
Seyman, M. Nuri; Taspinar, Necmi (Springer Heidelberg, 2013)Orthogonal frequency division multiplexing (OFDM) combined with multiple input multiple output (MIMO) antennas is one of the promising schemes for high rate data transmission and capacity improvement. However, in these ...